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A Comparative Study of Average, Linked Mastoid, and REST References for ERP Components Acquired during fMRI

In simultaneous electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) studies, average reference (AR), and digitally linked mastoid (LM) are popular re-referencing techniques in event-related potential (ERP) analyses. However, they may introduce their own physiological signals...

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Autores principales: Yang, Ping, Fan, Chenggui, Wang, Min, Li, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5418232/
https://www.ncbi.nlm.nih.gov/pubmed/28529472
http://dx.doi.org/10.3389/fnins.2017.00247
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author Yang, Ping
Fan, Chenggui
Wang, Min
Li, Ling
author_facet Yang, Ping
Fan, Chenggui
Wang, Min
Li, Ling
author_sort Yang, Ping
collection PubMed
description In simultaneous electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) studies, average reference (AR), and digitally linked mastoid (LM) are popular re-referencing techniques in event-related potential (ERP) analyses. However, they may introduce their own physiological signals and alter the EEG/ERP outcome. A reference electrode standardization technique (REST) that calculated a reference point at infinity was proposed to solve this problem. To confirm the advantage of REST in ERP analyses of synchronous EEG-fMRI studies, we compared the reference effect of AR, LM, and REST on task-related ERP results of a working memory task during an fMRI scan. As we hypothesized, we found that the adopted reference did not change the topography map of ERP components (N1 and P300 in the present study), but it did alter the task-related effect on ERP components. LM decreased or eliminated the visual working memory (VWM) load effect on P300, and the AR distorted the distribution of VWM location-related effect at left posterior electrodes as shown in the statistical parametric scalp mapping (SPSM) of N1. ERP cortical source estimates, which are independent of the EEG reference choice, were used as the golden standard to infer the relative utility of different references on the ERP task-related effect. By comparison, REST reference provided a more integrated and reasonable result. These results were further confirmed by the results of fMRI activations and a corresponding EEG-only study. Thus, we recommend the REST, especially with a realistic head model, as the optimal reference method for ERP data analysis in simultaneous EEG-fMRI studies.
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spelling pubmed-54182322017-05-19 A Comparative Study of Average, Linked Mastoid, and REST References for ERP Components Acquired during fMRI Yang, Ping Fan, Chenggui Wang, Min Li, Ling Front Neurosci Neuroscience In simultaneous electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) studies, average reference (AR), and digitally linked mastoid (LM) are popular re-referencing techniques in event-related potential (ERP) analyses. However, they may introduce their own physiological signals and alter the EEG/ERP outcome. A reference electrode standardization technique (REST) that calculated a reference point at infinity was proposed to solve this problem. To confirm the advantage of REST in ERP analyses of synchronous EEG-fMRI studies, we compared the reference effect of AR, LM, and REST on task-related ERP results of a working memory task during an fMRI scan. As we hypothesized, we found that the adopted reference did not change the topography map of ERP components (N1 and P300 in the present study), but it did alter the task-related effect on ERP components. LM decreased or eliminated the visual working memory (VWM) load effect on P300, and the AR distorted the distribution of VWM location-related effect at left posterior electrodes as shown in the statistical parametric scalp mapping (SPSM) of N1. ERP cortical source estimates, which are independent of the EEG reference choice, were used as the golden standard to infer the relative utility of different references on the ERP task-related effect. By comparison, REST reference provided a more integrated and reasonable result. These results were further confirmed by the results of fMRI activations and a corresponding EEG-only study. Thus, we recommend the REST, especially with a realistic head model, as the optimal reference method for ERP data analysis in simultaneous EEG-fMRI studies. Frontiers Media S.A. 2017-05-05 /pmc/articles/PMC5418232/ /pubmed/28529472 http://dx.doi.org/10.3389/fnins.2017.00247 Text en Copyright © 2017 Yang, Fan, Wang and Li. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Yang, Ping
Fan, Chenggui
Wang, Min
Li, Ling
A Comparative Study of Average, Linked Mastoid, and REST References for ERP Components Acquired during fMRI
title A Comparative Study of Average, Linked Mastoid, and REST References for ERP Components Acquired during fMRI
title_full A Comparative Study of Average, Linked Mastoid, and REST References for ERP Components Acquired during fMRI
title_fullStr A Comparative Study of Average, Linked Mastoid, and REST References for ERP Components Acquired during fMRI
title_full_unstemmed A Comparative Study of Average, Linked Mastoid, and REST References for ERP Components Acquired during fMRI
title_short A Comparative Study of Average, Linked Mastoid, and REST References for ERP Components Acquired during fMRI
title_sort comparative study of average, linked mastoid, and rest references for erp components acquired during fmri
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5418232/
https://www.ncbi.nlm.nih.gov/pubmed/28529472
http://dx.doi.org/10.3389/fnins.2017.00247
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